diff --git a/.changeset/bright-doors-march.md b/.changeset/bright-doors-march.md new file mode 100644 index 000000000..d34345e7f --- /dev/null +++ b/.changeset/bright-doors-march.md @@ -0,0 +1,48 @@ +--- +"workers-ai-provider": minor +--- + +Add transcription, text-to-speech, and reranking support to the Workers AI provider. + +### New capabilities + +- **Transcription** (`provider.transcription(model)`) — implements `TranscriptionModelV3`. Supports Whisper models (`@cf/openai/whisper`, `whisper-tiny-en`, `whisper-large-v3-turbo`) and Deepgram Nova-3 (`@cf/deepgram/nova-3`). Handles model-specific input formats: number arrays for basic Whisper, base64 for v3-turbo via REST, and `{ body, contentType }` for Nova-3 via binding or raw binary upload for Nova-3 via REST. + +- **Speech / TTS** (`provider.speech(model)`) — implements `SpeechModelV3`. Supports Workers AI TTS models including Deepgram Aura-1 (`@cf/deepgram/aura-1`). Accepts `text`, `voice`, and `speed` options. Returns audio as `Uint8Array`. Uses `returnRawResponse` to handle binary audio from the REST path without JSON parsing. + +- **Reranking** (`provider.reranking(model)`) — implements `RerankingModelV3`. Supports BGE reranker models (`@cf/baai/bge-reranker-base`, `bge-reranker-v2-m3`). Converts AI SDK's document format to Workers AI's `{ query, contexts, top_k }` input. Handles both text and JSON object documents. + +### Bug fixes + +- **AbortSignal passthrough** — `createRun` REST shim now passes the abort signal to `fetch`, enabling request cancellation and timeout handling. Previously the signal was silently dropped. +- **Nova-3 REST support** — Added `createRunBinary` utility for models that require raw binary upload instead of JSON (used by Nova-3 transcription via REST). + +### Usage + +```typescript +import { createWorkersAI } from "workers-ai-provider"; +import { experimental_transcribe, experimental_generateSpeech, rerank } from "ai"; + +const workersai = createWorkersAI({ binding: env.AI }); + +// Transcription +const transcript = await experimental_transcribe({ + model: workersai.transcription("@cf/openai/whisper-large-v3-turbo"), + audio: audioData, + mediaType: "audio/wav", +}); + +// Speech +const speech = await experimental_generateSpeech({ + model: workersai.speech("@cf/deepgram/aura-1"), + text: "Hello world", + voice: "asteria", +}); + +// Reranking +const ranked = await rerank({ + model: workersai.reranking("@cf/baai/bge-reranker-base"), + query: "What is machine learning?", + documents: ["ML is a branch of AI.", "The weather is sunny."], +}); +``` diff --git a/.changeset/wide-knives-strive.md b/.changeset/wide-knives-strive.md new file mode 100644 index 000000000..eb596691c --- /dev/null +++ b/.changeset/wide-knives-strive.md @@ -0,0 +1,45 @@ +--- +"@cloudflare/tanstack-ai": minor +--- + +Add `@cloudflare/tanstack-ai` — adapters for using TanStack AI with Cloudflare Workers AI and AI Gateway. + +### Workers AI adapters + +All Workers AI adapters support four configuration modes: plain binding (`env.AI`), plain REST (account ID + API key), AI Gateway binding (`env.AI.gateway(id)`), and AI Gateway REST (account ID + gateway ID). + +- **Chat** (`createWorkersAiChat`) — Streaming chat completions via the OpenAI-compatible API. Includes tool calling with full round-trip support, structured output via `json_schema`, and reasoning text streaming (`STEP_STARTED`/`STEP_FINISHED` AG-UI events) for models like QwQ, DeepSeek R1, and Kimi K2.5. A custom fetch shim translates OpenAI SDK calls to `env.AI.run()` for binding mode, with a stream transformer that handles both Workers AI native format and OpenAI-compatible format. +- **Image generation** (`createWorkersAiImage`) — Stable Diffusion and other text-to-image models. +- **Transcription** (`createWorkersAiTranscription`) — Speech-to-text via Whisper and Deepgram Nova-3. +- **Text-to-speech** (`createWorkersAiTts`) — Audio generation via Deepgram Aura-1. +- **Summarization** (`createWorkersAiSummarize`) — Text summarization via BART-large-CNN. +- **Embeddings** (`createWorkersAiEmbedding`) — Text embeddings (implemented but not yet exported, pending TanStack AI's `BaseEmbeddingAdapter`). + +### AI Gateway adapters (third-party providers) + +Route requests through Cloudflare AI Gateway for caching, rate limiting, and unified billing. Each adapter injects a custom `fetch` (or `httpOptions` for Gemini) that handles both binding and credential-based gateway configurations. + +- **OpenAI** — Chat, summarize, image, transcription, TTS, video (`createOpenAi*`) +- **Anthropic** — Chat, summarize (`createAnthropic*`) +- **Gemini** — Chat, summarize, image, TTS (`createGemini*`). Credentials-only (Google GenAI SDK lacks custom fetch support). +- **Grok** — Chat, summarize, image (`createGrok*`) +- **OpenRouter** — Chat, summarize, image (`createOpenRouter*`). Accepts any model string. + +### Utilities + +- `createGatewayFetch` — Shared fetch factory that routes requests through AI Gateway (binding or REST), with support for cache control headers (`skipCache`, `cacheTtl`, `customCacheKey`, `metadata`). +- `createWorkersAiBindingFetch` — Fetch shim that makes `env.AI` look like an OpenAI endpoint, including stream transformation and tool call ID sanitization for the binding's strict `[a-zA-Z0-9]{9}` validation. +- Config detection helpers (`isDirectBindingConfig`, `isDirectCredentialsConfig`, `isGatewayConfig`) using structural typing to discriminate `env.AI` from `env.AI.gateway(id)`. +- Shared binary utilities for normalizing Workers AI responses (Uint8Array, ArrayBuffer, ReadableStream, JSON wrapper) to base64. + +### Robustness + +- Premature stream termination detection — if Workers AI truncates a response or the connection drops (no `finish_reason`), the adapter emits proper closing events so consumers don't hang. +- Graceful non-streaming fallback — if a model returns a complete response despite `stream: true`, the binding shim wraps it into a valid response. +- Deepgram Nova-3 transcription uses raw binary audio via REST (not JSON), automatically detected by model name. + +### Testing + +- Comprehensive unit tests (186 tests) covering all adapters, config modes, stream transformation, message building, tool calling, reasoning events, premature termination, and public API surface. +- E2E integration tests against real Workers AI APIs (both binding and REST paths) across 12 chat models + 4 transcription models + image/TTS/summarize, validating chat, multi-turn, tool calling, tool round-trips, structured output, reasoning, and all non-chat capabilities. +- Tree-shakeable package exports with per-adapter entry points for ESM and CJS. diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 8f6c53fa0..a2108ed2e 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -35,6 +35,7 @@ jobs: run: | pnpm nx build workers-ai-provider pnpm nx build ai-gateway-provider + pnpm nx build @cloudflare/tanstack-ai - id: changesets uses: changesets/action@v1 diff --git a/README.md b/README.md index 3f2459452..3d62a2fc7 100644 --- a/README.md +++ b/README.md @@ -1,115 +1,53 @@ # Cloudflare AI -This repository contains various packages and demo apps related consuming Cloudflare's AI offerings on the client-side. It is a monorepo powered by [Nx](https://nx.dev/) and [Changesets](https://github.com/changesets/changesets). +Packages and examples for building AI-powered applications on Cloudflare. Includes providers for the [Vercel AI SDK](https://sdk.vercel.ai/) and [TanStack AI](https://tanstack.com/ai), with support for [Workers AI](https://ai.cloudflare.com/) and [AI Gateway](https://developers.cloudflare.com/ai-gateway/). ## Packages -- [`workers-ai-provider`](./packages/workers-ai-provider/README.md): A custom provider that enables [Workers AI](https://ai.cloudflare.com/)'s models for the [Vercel AI SDK](https://sdk.vercel.ai/). -- [`ai-gateway-provider`](./packages/ai-gateway-provider/README.md): [AI Gateway](https://developers.cloudflare.com/ai-gateway/) Provider for [Vercel AI SDK](https://sdk.vercel.ai/). +| Package | Description | npm | +| -------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------- | +| [`workers-ai-provider`](./packages/workers-ai-provider/) | Workers AI provider for the Vercel AI SDK. Chat, image generation, embeddings, transcription, text-to-speech, and reranking. | [![npm](https://img.shields.io/npm/v/workers-ai-provider)](https://www.npmjs.com/package/workers-ai-provider) | +| [`@cloudflare/tanstack-ai`](./packages/tanstack-ai/) | Workers AI and AI Gateway adapters for TanStack AI. Chat, image, transcription, TTS, summarization, plus gateway routing for OpenAI, Anthropic, Gemini, Grok, and OpenRouter. | [![npm](https://img.shields.io/npm/v/@cloudflare/tanstack-ai)](https://www.npmjs.com/package/@cloudflare/tanstack-ai) | +| [`ai-gateway-provider`](./packages/ai-gateway-provider/) | AI Gateway provider for the Vercel AI SDK. Route requests through Cloudflare's AI Gateway for caching, rate limiting, and observability. | [![npm](https://img.shields.io/npm/v/ai-gateway-provider)](https://www.npmjs.com/package/ai-gateway-provider) | -## Local Development - -1. Clone the repository. - - ```bash - git clone git@github.com:cloudflare/ai.git - ``` - -2. Install Dependencies. - - From the root directory, run: - - ```bash - cd ai - pnpm install - ``` - -3. Develop. - - To start a development server for a specific app (for instance, `tool-calling`): - - ```bash - pnpm nx dev tool-calling - ``` - - _Ideally all commands should be executed from the repository root with the `pnpm nx` prefix. This will ensure that the dependency graph is managed correctly, e.g. if one package relies on the output of an other._ - -4. Testing and Linting. - -- To execute your continuous integration tests for a specific project (e.g., `workers-ai-provider`): - - ```bash - pnpm nx test:ci workers-ai-provider - ``` - -- To lint a specific project: - - ```bash - pnpm nx lint my-project - ``` - -- To run a more comprehensive sweep of tasks (lint, tests, type checks, build) against one or more projects: +## Examples - ```bash - pnpm nx run-many -t lint test:ci type-check build -p "my-project other-project" - ``` +| Example | Description | +| ------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| [`examples/workers-ai`](./examples/workers-ai/) | Full-featured Workers AI playground using the Vercel AI SDK. Demonstrates all 6 capabilities: chat (with tool calling and reasoning), image generation, embeddings, transcription, text-to-speech, and reranking. Supports both binding and REST API modes. | +| [`examples/tanstack-ai`](./examples/tanstack-ai/) | Multi-provider demo using TanStack AI. Provider-first UI with Workers AI (binding and gateway), OpenAI, Anthropic, Gemini, Grok, and OpenRouter — each with capability sub-tabs for chat, image, summarize, transcription, and TTS. | -5. Other Nx Tasks. +## Demos -- `build`: Compiles a project or a set of projects. -- `test`: Runs project tests in watch mode. -- `test:ci`: Runs tests in CI mode (no watch). -- `test:smoke`: Runs smoke tests. -- `type-check`: Performs TypeScript type checks. +The [`demos/`](./demos/) directory contains additional focused demos for specific patterns — tool calling, structured output, agents, MCP servers, and more. See [demos.json](./demos.json) for the full list. -## Creating a New Demo App - -In order to scaffold a new demo app, you can use the `create-demo` script. This script will create a new demo app in the `demos` directory. +## Local Development ```bash -pnpm create-demo -``` +# Clone and install +git clone git@github.com:cloudflare/ai.git +cd ai +pnpm install -After creating the app, `pnpm install` will be run to install the dependencies, and `pnpm nx cf-typegen ` will be run to generate the types for the demo app. Then it's simply a case of starting the app with: +# Run an example +cd examples/workers-ai +pnpm dev -```bash -pnpm nx dev +# Run tests for a package +cd packages/workers-ai-provider +pnpm test + +# Run E2E tests (requires Cloudflare credentials) +pnpm test:e2e ``` ## Contributing -We appreciate contributions and encourage pull requests. Please follow these guidelines: - -1. Project Setup: After forking or cloning, install dependencies with `pnpm install`. -2. Branching: Create a new branch for your feature or fix. -3. Making Changes: - -- Add or update relevant tests. -- On pushing your changes, automated tasks will be run (courtesy of a Husky pre-push hook). - -4. Changesets: If your changes affect a published package, run `pnpm changeset` to create a changeset. Provide a concise summary of your changes in the changeset prompt. -5. Pull Request: Submit a pull request to the `main` branch. The team will review it and merge if everything is in order. +1. Fork or clone the repo, then `pnpm install` from the root. +2. Create a branch for your change. +3. If your change affects a published package, run `pnpm changeset` and describe what changed. +4. Submit a PR to `main`. ## Release Process -This repository uses [Changesets](https://github.com/changesets/changesets) to manage versioning and publication: - -1. **Changeset Creation**: Whenever a change is made that warrants a new release (e.g., bug fixes, new features), run: - - ```bash - pnpm changeset - ``` - - Provide a clear description of the changes. - -2. **Merging**: Once the changeset is merged into `main`, our GitHub Actions workflows will: - -- Detect the changed packages, and create a Version Packages PR. -- Increment versions automatically (via Changesets). -- Publish any package that has a version number to npm. (Demos and other internal items do not require versioning.) - -3. **Publication**: The release workflow (`.github/workflows/release.yml`) will run on every push to `main`. It ensures each published package is tagged and released on npm. Any package with a version field in its `package.json` will be included in this process. - ---- - -For any queries or guidance, kindly open an issue or submit a pull request. We hope this structure and process help you to contribute effectively. +This repo uses [Changesets](https://github.com/changesets/changesets). When a PR with changesets merges to `main`, a "Version Packages" PR is created automatically. Merging that PR bumps versions and publishes to npm. diff --git a/examples/tanstack-ai/.dev.vars.example b/examples/tanstack-ai/.dev.vars.example new file mode 100644 index 000000000..04dd1a738 --- /dev/null +++ b/examples/tanstack-ai/.dev.vars.example @@ -0,0 +1,11 @@ +# Cloudflare credentials (required for Workers AI and AI Gateway routing) +CLOUDFLARE_ACCOUNT_ID= +CLOUDFLARE_AI_GATEWAY_ID= +CLOUDFLARE_API_TOKEN= + +# Provider API keys can also be entered in the browser UI at runtime. +# These env vars serve as fallbacks for local development. +# OPENAI_API_KEY= +# ANTHROPIC_API_KEY= +# GEMINI_API_KEY= +# GROK_API_KEY= diff --git a/examples/tanstack-ai/.gitignore b/examples/tanstack-ai/.gitignore new file mode 100644 index 000000000..ae2b03090 --- /dev/null +++ b/examples/tanstack-ai/.gitignore @@ -0,0 +1,31 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? + +# wrangler files +.wrangler +.dev.vars* +!.dev.vars.example +.env* +!.env.example diff --git a/examples/tanstack-ai/README.md b/examples/tanstack-ai/README.md new file mode 100644 index 000000000..606aa3d47 --- /dev/null +++ b/examples/tanstack-ai/README.md @@ -0,0 +1,81 @@ +# @cloudflare/tanstack-ai demo + +Multi-provider AI demo showcasing [`@cloudflare/tanstack-ai`](../../packages/tanstack-ai). Features **Chat**, **Image Generation**, and **Summarization** across Workers AI and third-party providers (OpenAI, Anthropic, Gemini, Grok) through Cloudflare AI Gateway. + +## Features + +### Chat + +| Provider | Model | Config Mode | +| --------------------- | ----------------------------------------- | ------------------------- | +| **Llama 4 Scout** | `@cf/meta/llama-4-scout-17b-16e-instruct` | Workers AI direct | +| **Qwen3 30B** | `@cf/qwen/qwen3-30b-a3b-fp8` | Workers AI via AI Gateway | +| **GPT-5.2** | `gpt-5.2` | OpenAI via AI Gateway | +| **Claude Sonnet 4.5** | `claude-sonnet-4-5` | Anthropic via AI Gateway | +| **Gemini 2.5 Flash** | `gemini-2.5-flash` | Gemini via AI Gateway | +| **Grok 4** | `grok-4-1-fast-reasoning` | Grok via AI Gateway | + +### Image Generation + +| Provider | Model | +| ---------- | ------------------------- | +| **OpenAI** | `gpt-image-1` | +| **Gemini** | `imagen-4.0-generate-001` | +| **Grok** | `grok-2-image-1212` | + +### Summarization + +| Provider | Model | +| ------------- | ------------------- | +| **OpenAI** | `gpt-5.2` | +| **Anthropic** | `claude-sonnet-4-5` | +| **Gemini** | `gemini-2.0-flash` | + +## Setup + +### Option 1: Enter credentials in the UI (recommended for trying it out) + +1. Install and run: + +```bash +pnpm install +pnpm dev +``` + +2. Click **"Add API keys"** in the top-right corner and enter your Cloudflare Account ID, AI Gateway ID, and API Token. Credentials are stored in your browser's localStorage and sent as request headers -- never persisted on the server. + +### Option 2: Use environment variables (recommended for deploying) + +1. Copy the environment variables template: + +```bash +cp .dev.vars.example .dev.vars +``` + +2. Fill in your `.dev.vars`: + +``` +CLOUDFLARE_ACCOUNT_ID=your-cloudflare-account-id +CLOUDFLARE_AI_GATEWAY_ID=your-ai-gateway-id +CLOUDFLARE_API_TOKEN=your-cloudflare-api-token +``` + +3. Install and run: + +```bash +pnpm install +pnpm dev +``` + +> When both are present, user-provided credentials (from the UI) take precedence over environment variables. + +## What It Demonstrates + +- **Workers AI direct** -- `createWorkersAiChat(model, { binding: env.AI })` or REST API with `{ accountId, apiKey }` +- **Workers AI through AI Gateway** -- `createWorkersAiChat(model, { binding: env.AI.gateway(id) })` or credentials mode +- **Third-party providers through AI Gateway** -- `createOpenAiChat`, `createAnthropicChat`, `createGeminiChat`, `createGrokChat` +- **Image generation** -- `generateImage()` with `createOpenAiImage`, `createGeminiImage`, `createGrokImage` +- **Summarization** -- `summarize()` with `createOpenAiSummarize`, `createAnthropicSummarize`, `createGeminiSummarize` +- **Streaming** -- chat providers stream responses via TanStack AI's `chat()` + `toHttpResponse()` +- **Tool calling** -- server-side tools (math, time, web scrape) work across all chat providers +- **Dynamic credentials** -- user-provided API keys passed via request headers, with env var fallback diff --git a/examples/tanstack-ai/eslint.config.js b/examples/tanstack-ai/eslint.config.js new file mode 100644 index 000000000..8813e4ad2 --- /dev/null +++ b/examples/tanstack-ai/eslint.config.js @@ -0,0 +1,16 @@ +import js from "@eslint/js"; +import globals from "globals"; +import tseslint from "typescript-eslint"; +import { globalIgnores } from "eslint/config"; + +export default tseslint.config([ + globalIgnores(["dist", "worker-configuration.d.ts"]), + { + files: ["**/*.{ts,tsx}"], + extends: [js.configs.recommended, tseslint.configs.recommended], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + }, + }, +]); diff --git a/examples/tanstack-ai/index.html b/examples/tanstack-ai/index.html new file mode 100644 index 000000000..ecac45912 --- /dev/null +++ b/examples/tanstack-ai/index.html @@ -0,0 +1,13 @@ + + + + + + @cloudflare/tanstack-ai demo + + + +
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}, + "devDependencies": { + "@cloudflare/vite-plugin": "^1.19.0", + "@eslint/js": "^9.39.2", + "@types/react": "^19.1.10", + "@types/react-dom": "^19.1.7", + "@vitejs/plugin-react": "^5.0.0", + "eslint": "^9.39.2", + "typescript": "~5.8.3", + "typescript-eslint": "^8.54.0", + "vite": "^7.1.2", + "wrangler": "^4.58.0" + } +} diff --git a/examples/tanstack-ai/src/App.tsx b/examples/tanstack-ai/src/App.tsx new file mode 100644 index 000000000..7470281f7 --- /dev/null +++ b/examples/tanstack-ai/src/App.tsx @@ -0,0 +1,320 @@ +import { useState } from "react"; +import { ProviderView } from "./ProviderView"; +import { ConfigProvider, useConfig } from "./config"; +import { PROVIDERS } from "./providers"; + +function AppContent() { + const [activeProviderId, setActiveProviderId] = useState(PROVIDERS[0]!.id); + const [showSettings, setShowSettings] = useState(false); + const { + config, + setCloudflare, + setProviderKey, + setUseBinding, + clearAll, + isCloudflareConfigured, + hasAnyProviderKey, + } = useConfig(); + const isConfigured = config.useBinding || isCloudflareConfigured || hasAnyProviderKey; + + const activeProvider = PROVIDERS.find((p) => p.id === activeProviderId) ?? PROVIDERS[0]!; + + return ( +
+
+ {/* Header */} +
+
+
+
+ + Logo + + +
+
+

+ @cloudflare/tanstack-ai +

+

Multi-provider AI demo

+
+
+ +
+ + {/* Settings panel (collapsible) */} + {showSettings && ( +
+ {/* Connection mode toggle */} +
+
+
+

+ Connection Mode +

+

+ {config.useBinding + ? "Using env.AI binding directly. Works in local dev (wrangler) and deployed Workers." + : "Using REST credentials to connect to AI Gateway."} +

+
+
+ + REST + + + + Binding + +
+
+
+ + {/* Provider API Keys */} +
+
+

+ Provider API Keys +

+ {(hasAnyProviderKey || isCloudflareConfigured) && ( + + )} +
+

+ Optional if your AI Gateway has provider keys configured via + BYOK. Otherwise, enter keys for the providers you want to test. + Keys are stored in your browser only. +

+
+ {[ + { + key: "openai" as const, + label: "OpenAI", + placeholder: "sk-...", + }, + { + key: "anthropic" as const, + label: "Anthropic", + placeholder: "sk-ant-...", + }, + { + key: "gemini" as const, + label: "Gemini", + placeholder: "AI...", + }, + { + key: "grok" as const, + label: "Grok", + placeholder: "xai-...", + }, + { + key: "openrouter" as const, + label: "OpenRouter", + placeholder: "sk-or-...", + }, + ].map(({ key, label, placeholder }) => ( +
+ + + setProviderKey(key, e.target.value) + } + placeholder={placeholder} + className="w-full px-3 py-1.5 rounded-lg border border-gray-300 bg-white text-xs text-gray-900 placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-gray-900 focus:border-transparent" + /> +
+ ))} +
+
+ + {/* Cloudflare Credentials */} +
+

+ {config.useBinding ? "AI Gateway" : "Cloudflare Credentials"} +

+

+ {config.useBinding + ? "Specify the gateway ID for env.AI.gateway(). Falls back to CLOUDFLARE_AI_GATEWAY_ID env var." + : "Required for REST mode. Without these, the demo falls back to server-configured environment variables."} +

+
+ {!config.useBinding && ( +
+ + + setCloudflare({ + ...config.cloudflare, + accountId: e.target.value, + }) + } + placeholder="e.g. abc123def456..." + className="w-full px-3 py-1.5 rounded-lg border border-gray-300 bg-white text-xs text-gray-900 placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-gray-900 focus:border-transparent" + /> +
+ )} +
+ + + setCloudflare({ + ...config.cloudflare, + gatewayId: e.target.value, + }) + } + placeholder="default" + className="w-full px-3 py-1.5 rounded-lg border border-gray-300 bg-white text-xs text-gray-900 placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-gray-900 focus:border-transparent" + /> +
+ {!config.useBinding && ( +
+ + + setCloudflare({ + ...config.cloudflare, + apiToken: e.target.value, + }) + } + placeholder="Your Cloudflare API token" + className="w-full px-3 py-1.5 rounded-lg border border-gray-300 bg-white text-xs text-gray-900 placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-gray-900 focus:border-transparent" + /> +
+ )} +
+
+
+ )} + + {/* Provider tabs */} +
+ {PROVIDERS.map((p) => ( + + ))} +
+
+ + {/* Provider content */} +
+ +
+
+
+ ); +} + +function App() { + return ( + + + + ); +} + +export default App; diff --git a/examples/tanstack-ai/src/ProviderView.tsx b/examples/tanstack-ai/src/ProviderView.tsx new file mode 100644 index 000000000..9bebf695a --- /dev/null +++ b/examples/tanstack-ai/src/ProviderView.tsx @@ -0,0 +1,67 @@ +import { useState } from "react"; +import { ChatPanel } from "./panels/ChatPanel"; +import { ImagePanel } from "./panels/ImagePanel"; +import { SummarizePanel } from "./panels/SummarizePanel"; +import { TranscriptionPanel } from "./panels/TranscriptionPanel"; +import { TTSPanel } from "./panels/TTSPanel"; +import { CAPABILITY_LABELS, type Capability, type ProviderDef } from "./providers"; + +export function ProviderView({ provider }: { provider: ProviderDef }) { + const [activeCapability, setActiveCapability] = useState(provider.capabilities[0]!); + + return ( +
+ {/* Capability sub-tabs */} +
+
+ {provider.capabilities.map((cap) => { + const def = CAPABILITY_LABELS[cap]; + return ( + + ); + })} +
+
+ + {/* Capability content */} +
+ {activeCapability === "chat" && } + {activeCapability === "image" && ( + + )} + {activeCapability === "summarize" && ( + + )} + {activeCapability === "transcription" && ( + + )} + {activeCapability === "tts" && } +
+
+ ); +} diff --git a/examples/tanstack-ai/src/config.tsx b/examples/tanstack-ai/src/config.tsx new file mode 100644 index 000000000..12edb8924 --- /dev/null +++ b/examples/tanstack-ai/src/config.tsx @@ -0,0 +1,215 @@ +import { createContext, useCallback, useContext, useMemo, useState } from "react"; +import type { ReactNode } from "react"; + +// --------------------------------------------------------------------------- +// Types +// --------------------------------------------------------------------------- + +export interface CloudflareConfig { + accountId: string; + gatewayId: string; + apiToken: string; +} + +export interface ProviderKeys { + openai: string; + anthropic: string; + gemini: string; + grok: string; + openrouter: string; +} + +export interface DemoConfig { + cloudflare: CloudflareConfig; + providerKeys: ProviderKeys; + /** When true, the worker uses env.AI / env.AI.gateway() bindings instead of REST credentials. */ + useBinding: boolean; +} + +interface ConfigContextValue { + config: DemoConfig; + setCloudflare: (config: CloudflareConfig) => void; + setProviderKey: (provider: keyof ProviderKeys, key: string) => void; + setUseBinding: (value: boolean) => void; + clearAll: () => void; + isCloudflareConfigured: boolean; + hasAnyProviderKey: boolean; + /** Headers to include in every request to the worker */ + headers: Record; +} + +// --------------------------------------------------------------------------- +// SessionStorage helpers +// --------------------------------------------------------------------------- + +const STORAGE_KEY = "cf-tanstack-ai-config-v2"; + +const EMPTY_CLOUDFLARE: CloudflareConfig = { accountId: "", gatewayId: "", apiToken: "" }; +const EMPTY_PROVIDER_KEYS: ProviderKeys = { + openai: "", + anthropic: "", + gemini: "", + grok: "", + openrouter: "", +}; +const EMPTY_CONFIG: DemoConfig = { + cloudflare: EMPTY_CLOUDFLARE, + providerKeys: EMPTY_PROVIDER_KEYS, + useBinding: true, +}; + +function loadConfig(): DemoConfig { + try { + // Use sessionStorage so API keys are not persisted beyond the browser tab. + const raw = sessionStorage.getItem(STORAGE_KEY); + if (raw) { + const parsed = JSON.parse(raw) as Partial; + return { + cloudflare: { + accountId: parsed.cloudflare?.accountId ?? "", + gatewayId: parsed.cloudflare?.gatewayId ?? "", + apiToken: parsed.cloudflare?.apiToken ?? "", + }, + providerKeys: { + openai: parsed.providerKeys?.openai ?? "", + anthropic: parsed.providerKeys?.anthropic ?? "", + gemini: parsed.providerKeys?.gemini ?? "", + grok: parsed.providerKeys?.grok ?? "", + openrouter: parsed.providerKeys?.openrouter ?? "", + }, + useBinding: parsed.useBinding ?? true, + }; + } + } catch { + // Ignore parse errors + } + return EMPTY_CONFIG; +} + +function saveConfig(config: DemoConfig) { + try { + sessionStorage.setItem(STORAGE_KEY, JSON.stringify(config)); + } catch { + // Ignore storage errors (e.g. private browsing) + } +} + +// --------------------------------------------------------------------------- +// Context +// --------------------------------------------------------------------------- + +const ConfigContext = createContext(null); + +export function ConfigProvider({ children }: { children: ReactNode }) { + const [config, setConfigState] = useState(loadConfig); + + const setCloudflare = useCallback((cf: CloudflareConfig) => { + setConfigState((prev) => { + const next = { ...prev, cloudflare: cf }; + saveConfig(next); + return next; + }); + }, []); + + const setProviderKey = useCallback((provider: keyof ProviderKeys, key: string) => { + setConfigState((prev) => { + const next = { ...prev, providerKeys: { ...prev.providerKeys, [provider]: key } }; + saveConfig(next); + return next; + }); + }, []); + + const setUseBinding = useCallback((value: boolean) => { + setConfigState((prev) => { + const next = { ...prev, useBinding: value }; + saveConfig(next); + return next; + }); + }, []); + + const clearAll = useCallback(() => { + setConfigState(EMPTY_CONFIG); + saveConfig(EMPTY_CONFIG); + }, []); + + const cf = config.cloudflare; + const pk = config.providerKeys; + + const isCloudflareConfigured = !!( + cf.accountId.trim() && + cf.gatewayId.trim() && + cf.apiToken.trim() + ); + + const hasAnyProviderKey = !!( + pk.openai.trim() || + pk.anthropic.trim() || + pk.gemini.trim() || + pk.grok.trim() || + pk.openrouter.trim() + ); + + const headers = useMemo((): Record => { + const h: Record = {}; + if (config.useBinding) { + h["X-Use-Binding"] = "true"; + // Binding mode still needs a gateway ID for env.AI.gateway(id) + if (cf.gatewayId.trim()) h["X-CF-Gateway-Id"] = cf.gatewayId.trim(); + } else { + // Cloudflare REST credentials + if (cf.accountId.trim()) h["X-CF-Account-Id"] = cf.accountId.trim(); + if (cf.gatewayId.trim()) h["X-CF-Gateway-Id"] = cf.gatewayId.trim(); + if (cf.apiToken.trim()) h["X-CF-Api-Token"] = cf.apiToken.trim(); + } + // Provider API keys (sent in both modes — useful for BYOK override) + if (pk.openai.trim()) h["X-OpenAI-Api-Key"] = pk.openai.trim(); + if (pk.anthropic.trim()) h["X-Anthropic-Api-Key"] = pk.anthropic.trim(); + if (pk.gemini.trim()) h["X-Gemini-Api-Key"] = pk.gemini.trim(); + if (pk.grok.trim()) h["X-Grok-Api-Key"] = pk.grok.trim(); + if (pk.openrouter.trim()) h["X-OpenRouter-Api-Key"] = pk.openrouter.trim(); + return h; + }, [ + config.useBinding, + cf.accountId, + cf.gatewayId, + cf.apiToken, + pk.openai, + pk.anthropic, + pk.gemini, + pk.grok, + pk.openrouter, + ]); + + const value = useMemo( + () => ({ + config, + setCloudflare, + setProviderKey, + setUseBinding, + clearAll, + isCloudflareConfigured, + hasAnyProviderKey, + headers, + }), + [ + config, + setCloudflare, + setProviderKey, + setUseBinding, + clearAll, + isCloudflareConfigured, + hasAnyProviderKey, + headers, + ], + ); + + return {children}; +} + +export function useConfig(): ConfigContextValue { + const ctx = useContext(ConfigContext); + if (!ctx) { + throw new Error("useConfig must be used within a ConfigProvider"); + } + return ctx; +} diff --git a/examples/tanstack-ai/src/index.css b/examples/tanstack-ai/src/index.css new file mode 100644 index 000000000..2ee804fb0 --- /dev/null +++ b/examples/tanstack-ai/src/index.css @@ -0,0 +1,5 @@ +html, +body, +#root { + height: 100%; +} diff --git a/examples/tanstack-ai/src/main.tsx b/examples/tanstack-ai/src/main.tsx new file mode 100644 index 000000000..9cd1cc608 --- /dev/null +++ b/examples/tanstack-ai/src/main.tsx @@ -0,0 +1,10 @@ +import { StrictMode } from "react"; +import { createRoot } from "react-dom/client"; +import "./index.css"; +import App from "./App.tsx"; + +createRoot(document.getElementById("root")!).render( + + + , +); diff --git a/examples/tanstack-ai/src/panels/ChatPanel.tsx b/examples/tanstack-ai/src/panels/ChatPanel.tsx new file mode 100644 index 000000000..676dcb089 --- /dev/null +++ b/examples/tanstack-ai/src/panels/ChatPanel.tsx @@ -0,0 +1,305 @@ +import { fetchHttpStream, useChat } from "@tanstack/ai-react"; +import { useEffect, useMemo, useRef, useState } from "react"; +import { useConfig } from "../config"; +import type { ProviderDef } from "../providers"; + +export function ChatPanel({ provider }: { provider: ProviderDef }) { + const [workersAiModel, setWorkersAiModel] = useState(provider.chatModels?.[0]?.id ?? ""); + + return ( +
+ {/* Model selector (Workers AI only) */} + {provider.chatModels && ( +
+ +
+ )} + + +
+ ); +} + +function ChatView({ provider, workersAiModel }: { provider: ProviderDef; workersAiModel: string }) { + const { headers } = useConfig(); + + const headersRef = useRef(headers); + headersRef.current = headers; + const workersAiModelRef = useRef(workersAiModel); + workersAiModelRef.current = workersAiModel; + + const connection = useMemo( + () => + fetchHttpStream(`/ai/${provider.id}/chat`, () => { + const h: Record = { ...headersRef.current }; + if (workersAiModelRef.current) { + h["X-Workers-AI-Model"] = workersAiModelRef.current; + } + return { headers: h }; + }), + [provider.id], + ); + + const { messages, sendMessage, error, isLoading } = useChat({ connection }); + + const [input, setInput] = useState(""); + const messagesEndRef = useRef(null); + const inputRef = useRef(null); + + // biome-ignore lint/correctness/useExhaustiveDependencies: intentional trigger on message count change + useEffect(() => { + messagesEndRef.current?.scrollIntoView({ behavior: "smooth" }); + }, [messages.length]); + + useEffect(() => { + inputRef.current?.focus(); + }, []); + + const handleSubmit = (e: React.FormEvent) => { + e.preventDefault(); + if (input.trim() && !isLoading) { + sendMessage(input); + setInput(""); + } + }; + + return ( + <> + {error && ( +
+ {error.message} +
+ )} + +
+ {messages.length === 0 ? ( +
+
+

+ Chat with {provider.label} +

+

+ Send a message to get started. Tool calling is enabled. +

+
+ {["What can you do?", "Tell me a joke", "What time is it?"].map( + (prompt) => ( + + ), + )} +
+
+
+ ) : ( +
+ {messages + .filter((m) => + m.parts.some( + (p) => + p.type === "thinking" || + p.type !== "text" || + !!(p as { content?: string }).content, + ), + ) + .map((message) => ( +
+
+
+ {message.parts.map((part) => { + const partId = + "id" in part && part.id + ? String(part.id) + : "toolCallId" in part + ? String( + ( + part as { + toolCallId?: string; + } + ).toolCallId, + ) + : `${part.type}-${("content" in part ? String(part.content) : "").slice(0, 32)}`; + const key = `${message.id}-${partId}`; + if (part.type === "text") { + if (!(part as { content?: string }).content) + return null; + return ( +
+ {part.content} +
+ ); + } + if (part.type === "thinking") { + const thinkContent = ( + part as { content?: string } + ).content; + if (!thinkContent) return null; + return ( +
+

+ Reasoning +

+
+ {thinkContent} +
+
+ ); + } + if ( + part.type === "tool-call" || + part.type === "tool-result" + ) { + return ( +
+ + {"toolName" in part + ? (part as { toolName: string }) + .toolName + : "tool"} + + {"result" in part && ( + + {JSON.stringify( + ( + part as { + result?: unknown; + } + ).result, + )} + + )} +
+ ); + } + return null; + })} +
+
+
+ ))} + {isLoading && messages[messages.length - 1]?.role === "user" && ( +
+
+
+
+
+
+
+
+
+ )} +
+
+ )} +
+ +
+
+ setInput(e.target.value)} + placeholder="Send a message..." + disabled={isLoading} + className="flex-1 px-4 py-2.5 rounded-xl border border-gray-300 bg-white text-sm text-gray-900 placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-gray-900 focus:border-transparent disabled:opacity-50 disabled:cursor-not-allowed" + /> + +
+

+ Tools: sum, multiply, get_current_time, random_number, reverse_string, + web_scrape +

+
+ + ); +} diff --git a/examples/tanstack-ai/src/panels/ImagePanel.tsx b/examples/tanstack-ai/src/panels/ImagePanel.tsx new file mode 100644 index 000000000..8e80fc312 --- /dev/null +++ b/examples/tanstack-ai/src/panels/ImagePanel.tsx @@ -0,0 +1,201 @@ +import { useState } from "react"; +import { useConfig } from "../config"; +import type { ProviderDef } from "../providers"; + +interface GeneratedImage { + id: string; + prompt: string; + url?: string; + b64Json?: string; + error?: string; +} + +export function ImagePanel({ provider }: { provider: ProviderDef }) { + const [prompt, setPrompt] = useState(""); + const [isLoading, setIsLoading] = useState(false); + const [images, setImages] = useState([]); + const [error, setError] = useState(null); + const { headers } = useConfig(); + + const handleGenerate = async (e: React.FormEvent) => { + e.preventDefault(); + if (!prompt.trim() || isLoading) return; + + setIsLoading(true); + setError(null); + + try { + const res = await fetch(`/ai/${provider.id}/image`, { + method: "POST", + headers: { "Content-Type": "application/json", ...headers }, + body: JSON.stringify({ prompt }), + }); + + const data = await res.json(); + + if (!res.ok) { + setError((data as { error?: string }).error || "Image generation failed"); + return; + } + + const result = data as { images?: Array<{ b64Json?: string; url?: string }> }; + const img = result.images?.[0]; + + if (img) { + setImages((prev) => [ + { id: crypto.randomUUID(), prompt, url: img.url, b64Json: img.b64Json }, + ...prev, + ]); + setPrompt(""); + } else { + setError("No image was returned"); + } + } catch (err) { + setError(err instanceof Error ? err.message : String(err)); + } finally { + setIsLoading(false); + } + }; + + return ( +
+
+
+ setPrompt(e.target.value)} + placeholder="Describe the image you want to generate..." + disabled={isLoading} + className="flex-1 px-4 py-2.5 rounded-xl border border-gray-300 bg-white text-sm text-gray-900 placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-gray-900 focus:border-transparent disabled:opacity-50 disabled:cursor-not-allowed" + /> + +
+
+ + {error && ( +
+ {error} +
+ )} + +
+ {images.length === 0 && !isLoading ? ( +
+
+

+ Generate images with {provider.label} +

+

+ Describe what you want to see. +

+
+ {[ + "A cat astronaut floating in space", + "A cozy cabin in the snow", + "Abstract neon cityscape", + ].map((example) => ( + + ))} +
+
+
+ ) : ( +
+ {isLoading && ( +
+
+ + Loading + + + +
+

+ Generating... +

+

{prompt}

+
+
+
+ )} + {images.map((img) => ( +
+ {img.error ? ( +
{img.error}
+ ) : ( + {img.prompt} + )} +
+

{img.prompt}

+
+
+ ))} +
+ )} +
+
+ ); +} diff --git a/examples/tanstack-ai/src/panels/SummarizePanel.tsx b/examples/tanstack-ai/src/panels/SummarizePanel.tsx new file mode 100644 index 000000000..cf96f18b7 --- /dev/null +++ b/examples/tanstack-ai/src/panels/SummarizePanel.tsx @@ -0,0 +1,138 @@ +import { useState } from "react"; +import { useConfig } from "../config"; +import type { ProviderDef } from "../providers"; + +const PLACEHOLDER_TEXT = `Cloudflare is a web infrastructure and security company that provides content delivery network (CDN) services, DDoS mitigation, Internet security, and distributed domain name server (DNS) services. Cloudflare's services sit between a website's visitor and the hosting provider, acting as a reverse proxy for websites. Its headquarters are in San Francisco, California, with additional offices in London, Singapore, Lisbon, and other cities around the world. + +The company was founded in 2009 by Matthew Prince, Lee Holloway, and Michelle Zatlyn. It launched in September 2010 at TechCrunch Disrupt. The company has since grown to serve millions of websites and process a significant portion of internet traffic globally. In 2019, Cloudflare had its initial public offering (IPO) on the New York Stock Exchange. + +Cloudflare Workers is a serverless application platform running on Cloudflare's global network in over 300 cities worldwide. Workers AI brings serverless GPU-powered machine learning directly to Cloudflare's network, allowing developers to run AI models with Workers AI bindings or the REST API. AI Gateway provides a unified control plane for managing and monitoring AI requests across multiple providers.`; + +export function SummarizePanel({ provider }: { provider: ProviderDef }) { + const [text, setText] = useState(""); + const [isLoading, setIsLoading] = useState(false); + const [summary, setSummary] = useState(null); + const [error, setError] = useState(null); + const { headers } = useConfig(); + + const handleSummarize = async (e: React.FormEvent) => { + e.preventDefault(); + const inputText = text.trim() || PLACEHOLDER_TEXT; + if (isLoading) return; + + setIsLoading(true); + setError(null); + setSummary(null); + + try { + const res = await fetch(`/ai/${provider.id}/summarize`, { + method: "POST", + headers: { "Content-Type": "application/json", ...headers }, + body: JSON.stringify({ text: inputText }), + }); + + const data = await res.json(); + + if (!res.ok) { + setError((data as { error?: string }).error || "Summarization failed"); + return; + } + + const result = data as { summary?: string }; + if (result.summary) { + setSummary(result.summary); + } else { + setError("No summary was returned"); + } + } catch (err) { + setError(err instanceof Error ? err.message : String(err)); + } finally { + setIsLoading(false); + } + }; + + return ( +
+
+ +